188 search results - page 31 / 38 » Finding Similar Patterns in Microarray Data |
APWEB
2006
Springer
14 years 1 months ago
2006
Springer
Clustering is to identify densely populated subgroups in data, while correlation analysis is to find the dependency between the attributes of the data set. In this paper, we combin...
BMCBI
2011
13 years 4 months ago
2011
Background: Genes work coordinately as gene modules or gene networks. Various computational approaches have been proposed to find gene modules based on gene expression data; for e...
BMCBI
2008
13 years 10 months ago
2008
Background: Computational methods for characterizing novel transcription factor binding sites search for sequence patterns or "motifs" that appear repeatedly in genomic ...
ICIP
2010
IEEE
13 years 7 months ago
2010
IEEE
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very...
EVOW
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...